Queen Mary University of London
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Postdoctoral Research Associate in GPU LES and Aeroacoustics Queen Mary University of London in United Kingdom
Degree Level
Postdoc
Field of study
Computer Science
Funding
Fixed-term salaried post for 12 months at £39,187 - £42,933 per annum, full time. The post is supported by a highly competitive grant in the SME ATI programme and is a research-and-development role rather than a studentship.
Deadline
Nov 10, 2026
Country
United Kingdom
University
Queen Mary University of London
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About this position
Queen Mary University of London is advertising a Postdoctoral Research Associate in GPU LES and Aeroacoustics within the School of Engineering and Materials Science (Faculty of Science & Engineering). This is a 12-month, full-time post based in London, United Kingdom, supporting a highly competitive grant-funded R&D project with GPU-Prime Ltd under the SME ATI programme.
The project focuses on developing and validating a GPU-native Large Eddy Simulation (LES) toolchain for unsteady aerodynamics and aeroacoustics. The successful candidate will contribute to high-fidelity CFD-CAA validation and modelling for the ATI-IUK project, including HPC runs and advanced post-processing/analysis using data-driven methods.
Suitable applicants should have a PhD (or be close to completion), or equivalent research experience at PhD level in a relevant area. Strong experience with LES, Computational Aeroacoustics, and GPGPU computing is required; knowledge of CABARET and data-driven analysis methods is desirable.
Funding details provided in the ad indicate a salaried post with a salary range of £39,187–£42,933 per annum. This is not a scholarship or studentship; it is a fixed-term research appointment.
To apply, use the Queen Mary University of London jobs portal and review the job pack for full details before submitting your application by the closing date.
Funding details
Fixed-term salaried post for 12 months at £39,187 - £42,933 per annum, full time. The post is supported by a highly competitive grant in the SME ATI programme and is a research-and-development role rather than a studentship.
What's required
Applicants should have a PhD or be close to completion, or have equivalent research qualification/experience at PhD level in a relevant subject area. Required experience includes Large Eddy Simulation (LES), Computational Aeroacoustics, and GPGPU computing. Knowledge of CABARET and experience with data-driven analysis methods are desirable.
How to apply
Apply through the Queen Mary University of London jobs portal using the opportunity page and job pack. Review the job pack, prepare your application, and submit before the closing date.
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Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.